A comprehensive survey on NSGA-II for multi-objective optimization and applications

H Ma, Y Zhang, S Sun, T Liu, Y Shan - Artificial Intelligence Review, 2023 - Springer
In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-
II) has attracted extensive research interests, and it is still one of the hottest research …

Solving multi-objective weapon-target assignment considering reliability by improved MOEA/D-AM2M

X Yi, H Yu, T Xu - Neurocomputing, 2024 - Elsevier
The weapon-target assignment problem is a challenging optimization issue, but reliability is
seldom considered in the majority of existing literature. To address the high-reliability …

Heuristic and metaheuristic methods for the parallel unrelated machines scheduling problem: a survey

M Ɖurasević, D Jakobović - Artificial Intelligence Review, 2023 - Springer
Scheduling has an immense effect on various areas of human lives, be it though its
application in manufacturing and production industry, transportation, workforce allocation, or …

A knowledge-based two-population optimization algorithm for distributed energy-efficient parallel machines scheduling

Z Pan, D Lei, L Wang - IEEE transactions on cybernetics, 2020 - ieeexplore.ieee.org
In recent years, both distributed scheduling problem and energy-efficient scheduling have
attracted much attention. As the integration of these two problems, the distributed energy …

A mathematical model and heuristic algorithms for an unrelated parallel machine scheduling problem with sequence-dependent setup times, machine eligibility …

G Bektur, T Saraç - Computers & Operations Research, 2019 - Elsevier
Parallel machine scheduling problems with common servers have many industrial
applications. In this paper, we study a generalized problem of scheduling with a common …

Constraint programming approach for multi-resource-constrained unrelated parallel machine scheduling problem with sequence-dependent setup times

P Yunusoglu, S Topaloglu Yildiz - International Journal of …, 2022 - Taylor & Francis
This paper studies the multi-resource-constrained unrelated parallel machine scheduling
problem under various operational constraints with the objective of minimising maximum …

Unrelated parallel machine scheduling with eligibility constraints and delivery times to minimize total weighted tardiness

S Maecker, L Shen, L Mönch - Computers & Operations Research, 2023 - Elsevier
This paper addresses an unrelated parallel machine scheduling problem with job-machine-
dependent delivery times and eligibility constraints motivated by a distributed manufacturing …

Multi-Objective multi-skill resource-constrained project scheduling problem with skill switches: Model and evolutionary approaches

Y Tian, T Xiong, Z Liu, Y Mei, L Wan - Computers & Industrial Engineering, 2022 - Elsevier
This paper proposes a new extension of the multi-skill resource-constrained project
scheduling problem: MS-RCPSP with skill switches. In real-world environment, the switch …

Collaboration and transportation resource sharing in multiple centers vehicle routing optimization with delivery and pickup

Y Wang, J Zhang, K Assogba, Y Liu, M Xu… - Knowledge-Based …, 2018 - Elsevier
The adoption of collaboration strategies among logistics facilities and the formation of one or
multiple coalitions constitute a sustainable approach to vehicle routing network optimization …

A bi-objective load balancing model in a distributed simulation system using NSGA-II and MOPSO approaches

S Ding, C Chen, B Xin, PM Pardalos - Applied soft computing, 2018 - Elsevier
High level architecture (HLA) is a software-architecture specification of a distributed
simulation system which does not involve load balancing. As a result, problems of long …